CDER-SME provides 1,963 expert-annotated Event-RGB micro-expression samples from 92 subjects under multi-level stress, with a hardware-agnostic alignment pipeline and a multimodal baseline showing fusion gains.
CAS(ME): A database for spontaneous macro-expression and micro-expression spotting and recognition
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Deep learning models analyzing temporal facial expressions and head movements in interview videos explained 91% and 84% of variance in self-reported honest and deceptive impression management, outperforming human interviewers' correlations with the same self-reports.
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CDER-SME: A Cross-Device Event-RGB Micro-Expression Dataset under Multi-Level Stress Induction
CDER-SME provides 1,963 expert-annotated Event-RGB micro-expression samples from 92 subjects under multi-level stress, with a hardware-agnostic alignment pipeline and a multimodal baseline showing fusion gains.
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Artificial Intelligence can Recognize Whether a Job Applicant is Selling and/or Lying According to Facial Expressions and Head Movements Much More Correctly Than Human Interviewers
Deep learning models analyzing temporal facial expressions and head movements in interview videos explained 91% and 84% of variance in self-reported honest and deceptive impression management, outperforming human interviewers' correlations with the same self-reports.